Evidence map›Paper›PMID 28962556›Full record

ArticleBMC cardiovascular disorders2017

Association of the single nucleotide polymorphism in chromosome 9p21 and chromosome 9q33 with coronary artery disease in Chinese population.

Qi Li, Wenhui Peng, Hailing Li, Jianhui Zhuang, Xuesheng Luo, Yawei Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Qi LiNo. 113 Hospital of Chinese People's Liberation Army (PLA), Ningbo, China.
Wenhui PengShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hailing LiShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Jianhui ZhuangShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Xuesheng LuoNo. 113 Hospital of Chinese People's Liberation Army (PLA), Ningbo, China.
Yawei XuShanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. xuyawei@tongji.edu.cn.ORCID http://orcid.org/0000-0002-1172-4165
Tongji University · CNChinese People 's Liberation Army No. 85 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study aims to explore the association of rs7025486 single-nucleotide polymorphisms (SNP) in DAB2IP and rs1333049 on chromosome 9p21.3 with the coronary artery disease in Chinese population.

methodsAll patients came from the east China area and underwent coronary angiography. Rs7025486 and rs1333049 polymorphism were genotyped in 555 patients with CAD and in 480 healthy controls that underwent coronary angiography.

resultsIn Chinese population, the rs7025486 genotype in the case group was no significant different than the control group (P = 0.531).Meanwhile, the rs1333049 SNP has statistically significant (P = 0.006), which was the independent risk factors for CAD (OR1.252, P = 0.039), and consistent with the past studies conclusion.

conclusionGenotype of rs1333049 on chromosome 9p21, but not rs7025486 on chromosome 9q33, is an independent determinant of the incidence of CAD in Chinese population.

Indexed as

Population SurveillanceAgedAsian PeopleChinaChromosomes, Human, Pair 9Coronary Artery DiseaseFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideCoronary artery diseasers1333049rs702548Single-nucleotide polymorphisms

Identifiers

PMID28962556
PMCPMC5622451
OpenAlexW2758684619

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.